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SuperStructure: a Parameter-Free Super-Structure Identifier for SMLM Data

By Mattia Marenda, Elena Lazarova, Sebastian van de Linde, Nick Gilbert, Davide Michieletto

Posted 20 Aug 2020
bioRxiv DOI: 10.1101/2020.08.19.254540

Single-Molecule Localisation Microscopy (SMLM) allows the quantitative mapping of molecules at high resolution. However, understanding the non-random interaction of proteins requires the identification of more complex patterns than those typified by standard clustering tools. Here we introduce SuperStructure, a parameter-free algorithm to quantify structures made of inter-connected clusters, such as protein gels. SuperStructure works without a priori assumptions and is thus an ideal methodology for standardised analysis of SMLM data. ### Competing Interest Statement The authors have declared no competing interest.

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